code: def test_norm(self):
      N = 4
      momt = [_norm_moment(j + 1) for j in range(N)]
      for n in range(1, N + 1):
          kappa = cumulant_from_moments(momt, n)
          assert_allclose(kappa, _norm_cumulant(n), atol=1e-12)
  
imports: import warnings
  import numpy
  from numpy.testing import assert_equal, assert_raises, assert_allclose
  import numpy.testing
  from scipy.special import gamma, factorial, factorial2
  import scipy.stats
  from statsmodels.distributions.edgeworth import _faa_di_bruno_partitions, cumulant_from_moments, ExpandedNormal
label_desc: Use image node_id 2 for calling the TestCumulants obj's underlying member method code with example usage: obj.test_norm() without return types